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State Space Models

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Showing 651–700 of 923 papers

TitleStatusHype
Scalable Visual State Space Model with Fractal Scanning—0
Secure Data Reconstruction: A Direct Data-Driven Approach—0
Selection Mechanisms for Sequence Modeling using Linear State Space Models—0
Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution—0
Self-Supervised Inference in State-Space Models—0
Self-supervised Learning for Acoustic Few-Shot Classification—0
Sensitivity Analysis of State Space Models for Scrap Composition Estimation in EAF and BOF—0
Sequence models for continuous cell cycle stage prediction from brightfield images—0
Sequential Estimation of Gaussian Process-based Deep State-Space Models—0
Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems—0
Sequential Monte Carlo Methods for System Identification—0
Sequential-Parallel Duality in Prefix Scannable Models—0
Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models—0
SeRpEnt: Selective Resampling for Expressive State Space Models—0
SHMamba: Structured Hyperbolic State Space Model for Audio-Visual Question Answering—0
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences—0
Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion—0
Simple Models and Biased Forecasts—0
Smoothing-Averse Control: Covertness and Privacy from Smoothers—0
SMR: State Memory Replay for Long Sequence Modeling—0
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients—0
Sparse Graphical Linear Dynamical Systems—0
Sparse Mamba: Introducing Controllability, Observability, And Stability To Structural State Space Models—0
SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot—0
Spectral Informed Mamba for Robust Point Cloud Processing—0
Spectral State Space Model for Rotation-Invariant~Visual~Representation~Learning—0
Spectral State Space Model for Rotation-Invariant Visual Representation Learning—0
Speech-Mamba: Long-Context Speech Recognition with Selective State Spaces Models—0
SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video Grounding—0
SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning—0
Spiking Structured State Space Model for Monaural Speech Enhancement—0
SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation—0
Stabilizing RNN Gradients through Pre-training—0
Standard State Space Models of Unawareness (Extended Abstract)—0
Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series—0
State and parameter learning with PaRIS particle Gibbs—0
State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend—0
State-Space Large Audio Language Models—0
State Space LSTM Models with Particle MCMC Inference—0
State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Era—0
State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons—0
State Space Models are Comparable to Transformers in Estimating Functions with Dynamic Smoothness—0
State Space Models are Strong Text Rerankers—0
State-space models can learn in-context by gradient descent—0
State-space models' dirty little secrets: even simple linear Gaussian models can have estimation problems—0
State space models, emergence, and ergodicity: How many parameters are needed for stable predictions?—0
State space models for building control: how deep should you go?—0
State Space Models for Extractive Summarization in Low Resource Scenarios—0
State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition—0
State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting—0
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